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Naive Bayes Classification in Ruby using Hadoop and HBase

I couldn’t find anything that could possibly handle many terabytes of data, though. Most Ruby implementations, like the classifier gem, have only a simplistic implementation […]. I decided to create a better naive bayes implementation (for instance, using a Laplacian smoother) that could also handle up to many terabytes of corpus data.

We already have a Hadoop cluster with HBase running, and HBase is perfect for storing data like word counts.

I guess you can imagine what happened next. GitHub project name ☞ ankusa.

Original title and link: Naive Bayes Classification in Ruby using Hadoop and HBase (NoSQL databases © myNoSQL)

via: http://findingscience.com/2010/12/02/naive-bayes-classification-in-ruby-using-hadoop-and-hbase.html